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‑violation. For example, the candidate will do some of the tasks including: AI-driven Link Adaptation and MAC control – develop AI-based mechanism that proactively anticipate and respond to rapidly changing
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together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our
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Unmanned Aerial Vehicle (UAV) swarms are becoming increasingly important for defence, emergency response, infrastructure inspection, and future autonomous systems. These swarms can use federated
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controlled CO₂ desublimation experiments; perform experiments with CO₂ containing gas mixtures at low temperatures; use optical diagnostics to visualise and quantify solid CO₂ layer formation, growth and
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integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach
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the ethical, regulatory and health-economic aspects of therapy development. The network will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining
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across human, hybrid and automated practices. The project aims to develop a practice-based account of co-creation and offer guidance for organisations and policymakers seeking equitable, responsible and
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instability remains poorly understood. This project will use advanced human cell models, molecular and imaging approaches to investigate how extracellular vesicles and other signalling mechanisms drive
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, Alzheimer's disease, and ALS. Among other techniques, we use functional MRI (fMRI), which is a method for measuring brain activity and connectivity between nerve cells. MRI measurements can be affected by
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node